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Entry Level Data Scientist Jobs in Indiana (NOW HIRING)

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Entry Level Data Scientist information

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How much do entry level data scientist jobs pay per year?

As of Jul 18, 2026, the average yearly pay for entry level data scientist in Indiana is $157,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,000.00 and $161,800.00 per year, depending on experience, location, and employer.

What Does an Entry-Level Data Scientist Do?

An entry-level data scientist works to examine, interpret, and collect large sets of data. In this role, your responsibilities include extracting and processing information to find patterns and trends, using technology to analyze data, and creating a machine-learning algorithm or predictive model for data analysis. Other duties include proposing strategies and solutions based on the information you derived from a data set, using ensemble modeling to combine models, automating processes to collect data, discovering valuable data sources, and using data visualization techniques to present information. You often collaborate with product development and engineering teams.

What does an Entry Level Data Scientist do?

An Entry Level Data Scientist helps organizations analyze and interpret large sets of data to solve business problems. They typically assist with data cleaning, exploratory data analysis, and building simple machine learning models under the supervision of more experienced data scientists. Their work often involves using programming languages like Python or R, and tools such as SQL and data visualization software. Entry level data scientists also collaborate with other team members to communicate findings and support data-driven decision-making.

What are some typical challenges faced by entry level data scientists in their first year on the job?

Entry level data scientists often encounter challenges such as working with messy or incomplete datasets, adapting to unfamiliar data tools and company-specific processes, and translating business problems into actionable data analyses. They may also find it challenging to communicate technical findings to non-technical stakeholders and to prioritize projects in a fast-paced environment. Building strong relationships with colleagues in engineering, business, and analytics teams is key to overcoming these challenges and accelerating learning.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a solid foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in a quantitative field such as mathematics, computer science, or engineering. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (e.g., scikit-learn, TensorFlow) is commonly expected. Strong problem-solving skills, curiosity, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These abilities enable you to extract actionable insights from data, support business decisions, and contribute value to data-driven organizations.

What is the difference between Entry Level Data Scientist vs Data Analyst?

AspectEntry Level Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Business, Statistics, or related field; strong Excel, SQL, and visualization skills
Work EnvironmentCollaborates with data science teams, uses programming languages like Python or R, focuses on predictive modelingWorks with business teams, uses SQL, Excel, and BI tools, focuses on reporting and data visualization
Employer & Industry UsageTech companies, finance, healthcare, startupsRetail, marketing, finance, healthcare, government

Entry Level Data Scientists and Data Analysts often share foundational skills like SQL and data visualization. However, data scientists typically focus on building predictive models and machine learning algorithms, requiring programming knowledge, while data analysts concentrate on interpreting data through reports and dashboards. Both roles are essential in data-driven organizations but differ in technical depth and project scope.

What are the most commonly searched types of Data Scientist jobs in Indiana? The most popular types of Data Scientist jobs in Indiana are:
What cities in Indiana are hiring for Entry Level Data Scientist jobs? Cities in Indiana with the most Entry Level Data Scientist job openings:
Scientist - Protein Production

Scientist - Protein Production

Helix Biostructures

Indianapolis, IN • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 11 days ago


Job description

Salary:

Scientist Protein Production

Helix BioStructures, LLC (HBS) is a contract research organization (CRO) based in Indianapolis, Indiana, providing early drug discovery services to the biopharmaceutical industry. HBS maintains a full suite of services that encompass chemical & structural analysis, protein production, computational modeling, and design. HBSs core and most popular services are structural biology imaging techniques: X-ray Crystallography and Cryo-EM. HBS was founded in 2018 and has grown considerably. We are looking to add a Scientist focused on protein production to join our Indianapolis-based team.


Main Responsibilities


This scientist will support our protein production pipeline by expressing and purifying recombinant proteins in bacterial, insect, and mammalian systems; performing biophysical characterization to assess sample quality and stability; developing and optimizing expression and purification protocols; interfacing with our clients; and writing technical project reports. The scientist will also contribute to improving expression and purification methods to accelerate research processes.

Highly desirable hands-on experiences include:

(a) Experience in recombinant protein expression and purification across bacterial, insect, and mammalian cell lines.

(b) Use of biophysical and analytical techniques (e.g., SDS-PAGE, SEC, Western Blot, TSA, DLS, Mass Spectrometry, and others) to assess protein quality, purity, and stability.

This scientist will employ a range of experimental methods (biochemical, biophysical, and/or computational) to support our clients structure-based drug discovery, antibody discovery, and/or protein engineering. Accordingly, proficiency in recombinant protein expression and purification and a passion for generating high-quality, well-characterized protein reagents are essential. Any structural biology experience (X-ray crystallography or Cryo-EM) is a plus, but is not required for this role. The successful candidate will be a strong technical contributor who can execute reliably at the bench and collaborate with colleagues on multiple projects in parallel. This role is open to candidates ranging from entry-level to experienced scientists; the level of hire, scope, and degree of independence will be determined by the candidates experience and qualifications, with the opportunity to help drive discovery projects from inception through early development.

Additional Responsibilities

  • Express and purify proteins to target quality and yield within industrial timeframes.
  • Document experimental data and communicate research priorities, progress, and results with clients/project teams.
  • Provide technical and scientific input to project teams, with the scope of guidance to other members of the Protein Sciences group, scaling with seniority and experience.
  • The candidate will be responsible for timely updates on project statuses, reporting to their supervisor informally and to Helixs customers by formal report writing and oral presentations.

Required Qualifications

This position is open to candidates ranging from entry-level to experienced scientists. The qualifications below represent the minimum requirements for the role; the final level of hire will be determined based on the candidates experience and qualifications.


  • D. in biochemistry, biophysics, molecular biology, protein engineering, or a related field; OR a Masters degree with 25 years of relevant industrial experience; OR a Bachelors degree with 510 years of relevant industrial experience.
  • Demonstrated competency in recombinant protein expression and purification using bacterial, insect, and mammalian cell lines; hands-on experience across all three systems is strongly preferred.
  • Ability to generate and characterize milligram to gram quantities of high-quality protein reagents for downstream studies.
  • Experience with standard analytical and biophysical techniques (e.g., SDS-PAGE, SEC, Western Blot, TSA, DLS, Mass Spectrometry, and others) for assessing protein quality, purity, and stability during purification.
  • Strong written and oral communication skills.


Additional qualifications


  • Hands-on experience in engineering protein constructs and optimizing the production of protein targets for structural and functional studies.
  • Experience in structural biology is a plus but not required, including protein X-ray crystallography (sample assessment, crystallization, optimization, data collection, and structure determination/refinement) and familiarity with software such as Phenix, CCP4, Coot, and PyMOL.
  • Experience with protein engineering and/or design approaches.
  • Analysis, design, and/or computational approaches to investigate ligand-protein complexes.
  • Experience with Cryo-EM is a plus, especially grid vitrification and screening.
  • Excellent communication, interpersonal, and organizational skills.
  • Willingness to tackle challenging technical problems.

Location



This position is based in Indianapolis, Indiana, and does NOT offer a hybrid option. Interaction with external service vendors is also expected. Candidates must be authorized to work in the United States; Helix BioStructures does NOT provide visa sponsorship for this position.


Physical Requirements

Able to lift 30 lb objects with dimensions 30 inches in height and 18 inches in width.

Able to visualize microscopic objects under microscopes.

Non-standard work schedule, travel, and lab safety


Able to adhere to safe work practices and perform lab work with appropriate personal protective equipment, such as but not limited to safety goggles, facial mask, gloves, lab coat/ protective gowning, and closed-toe shoes. Able to work at flexible hours occasionally when performing time-sensitive experiments.

Other job details

  • Eligible for Relocation Package
  • Competitive Salary + annual bonus
  • Retirement (matching 401K)
  • Health/Dental/Vision Insurance
  • Company Apple Computer

Helix BioStructures, LLC is an equal opportunity employer, and we embrace the increasingly diverse world around us. Helix BioStructures, LLC prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status, and veteran status.